data analyst

ai developer

data engineer

ai & business intelligence specialist Jobs in Karachi

ai & business intelligence specialist

ai automation engineer

ai data scientist

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
i6GpPhb9iD</div>

AI Data Scientist

Datamatics Technologies

<div>
 
 Job Title:
 
 AI Data Scientist (Offshore)
 
 
 
 Duration:
 
 6 Months (Extendable)
 
 
 Experience:
 
 &nbsp;6&ndash;8 Years
 
 
 Location:
 
 Offshore (Remote)
 
 
 Industry:
 
 Multi-Industry (with focus on Financial Sector)
 
 
 Employment Type:
 
 Contract (6 Months - Higher possiblity for extension)
 
 
 
 Job Summary
 
 
 We are seeking a highly skilled
 
 AI Data Scientist
 
 with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the
 
 financial services domain
 
 . The ideal candidate will have strong proficiency in
 
 Python, SQL
 
 , and
 
 Google Cloud Platform (GCP)
 
 tools &mdash; leveraging platforms like
 
 BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker
 
 to deliver scalable and automated AI solutions.
 
 
 This is an exciting
 
 6-month contract role (with potential extension)
 
 focused on developing
 
 descriptive, predictive, and prescriptive models
 
 and deploying them in production using
 
 MLOps best practices
 
 .
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Design and develop
 
 data science and machine learning models
 
 across descriptive, predictive, and prescriptive analytics.
 
 </li>
 <li>
 
 Work closely with business stakeholders&mdash;especially in the
 
 financial sector
 
 &mdash;to translate complex problems into AI-driven solutions.
 
 </li>
 <li>
 
 Develop and automate
 
 end-to-end ML pipelines
 
 on
 
 GCP
 
 using Vertex AI, Dataflow, Pub/Sub, and Dataproc.
 
 </li>
 <li>
 
 Implement
 
 MLOps
 
 frameworks for continuous integration, deployment, and monitoring of machine learning models.
 
 </li>
 <li>
 
 Analyze large datasets using
 
 BigQuery
 
 and other GCP-native tools for data transformation, feature engineering, and model training.
 
 </li>
 <li>
 
 Visualize insights and performance metrics using
 
 Looker
 
 and other BI tools.
 
 </li>
 <li>
 
 Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.
 
 </li>
 <li>
 
 Evaluate model performance and refine algorithms for improved accuracy and business impact.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 
 
 5&ndash;8 years
 
 of professional experience in
 
 data science, AI/ML
 
 , and analytics roles.
 
 </li>
 <li>
 
 Proven expertise in
 
 Python
 
 (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and
 
 SQL
 
 for data analysis and model development.
 
 </li>
 <li>
 
 Hands-on experience with
 
 GCP ecosystem
 
 , including:
 
 <ul>
 <li>
 
 
 BigQuery
 
 (data querying and transformation)
 
 </li>
 <li>
 
 
 Vertex AI
 
 (model training, tuning, deployment)
 
 </li>
 <li>
 
 
 Dataflow / Dataproc
 
 (data processing pipelines)
 
 </li>
 <li>
 
 
 Pub/Sub
 
 (event-driven data streaming)
 
 </li>
 <li>
 
 
 GCS (Google Cloud Storage)
 
 and
 
 Looker
 
 (visualization and reporting)
 
 </li>
 </ul>
 </li>
 <li>
 
 Strong knowledge of
 
 MLOps automation
 
 and continuous deployment best practices.
 
 </li>
 <li>
 
 Experience developing models in
 
 financial services
 
 (risk scoring, fraud detection, customer analytics, forecasting, etc.).
 
 </li>
 <li>
 
 Strong understanding of
 
 statistical modeling
 
 ,
 
 feature engineering
 
 , and
 
 model performance evaluation
 
 .
 
 </li>
 <li>
 
 Excellent problem-solving and communication skills with ability to work in multi-industry environments.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 
 Experience in
 
 multi-cloud
 
 or hybrid environments.
 
 </li>
 <li>
 
 Knowledge of
 
 CI/CD pipelines
 
 for ML (GitHub Actions, Jenkins, or Cloud Build).
 
 </li>
 <li>
 
 Exposure to
 
 deep learning frameworks
 
 (TensorFlow, PyTorch).
 
 </li>
 <li>
 
 Experience in
 
 time-series forecasting
 
 ,
 
 credit modeling
 
 , or
 
 financial risk analytics
 
 .
 
 </li>
 </ul>
</div>

Cosmo Resources

At Traxccel, we&rsquo;re transforming the way organizations harness data to drive strategy, optimize operations, and deliver impact. Our advanced analytics and AI-driven platforms empower businesses across industries with cutting-edge insights&mdash;and we&rsquo;re looking for a Senior Data Scientist to help us take our data innovation to the next level.Key Responsibilities<ul><li>Design, build, and deploy machine learning models and AI-driven systems across a variety of domains including NLP, recommendation engines, and generative AI.</li><li>Lead the use of Databricks Mosaic AI for scalable model training, experimentation, and lifecycle governance.</li><li>Leverage Azure AI services (e.g., Azure OpenAI, Cognitive Services) to operationalize and integrate intelligent capabilities into production applications.</li><li>Utilize Azure Foundry and other cloud-native frameworks to architect robust, high-scale AI solutions.</li><li>Translate business challenges into data science problems and deliver measurable results through applied machine learning.</li><li>Implement and maintain enterprise-grade ML workflows with a focus on security, scalability, and performance.</li><li>Apply a range of advanced techniques, including LLMs, prompt engineering, fine-tuning, and traditional ML methods.</li><li>Collaborate with engineering, analytics, and product teams to deliver end-to-end AI solutions.</li><li>Mentor junior data scientists and foster a culture of innovation, experimentation, and ethical AI use.</li></ul>Required Qualifications<ul><li>7+ years of hands-on experience in data science and ML model deployment in production environments.</li><li>Deep expertise with Databricks Mosaic AI, including distributed training, MLOps, and governance.</li><li>Strong experience with the Microsoft Azure ecosystem&mdash;especially Azure AI, Azure ML, Azure Foundry, and Azure Synapse.</li><li>In-depth understanding of machine learning, LLMs, NLP, and related evaluation and integration techniques.</li><li>Proficient in Python and libraries such as scikit-learn, PyTorch/TensorFlow, Hugging Face Transformers.</li><li>Experience designing reproducible ML pipelines and ensuring model performance and observability.</li><li>Familiar with MLflow, Git, Azure DevOps, and other tools used for collaboration, versioning, and model tracking.</li></ul>Preferred Qualifications<ul><li>Demonstrated experience building scalable, cloud-native AI systems in a production setting.</li><li>Knowledge of responsible AI practices, including fairness, transparency, bias mitigation, and compliance.</li><li>Familiarity with vector databases and tools for LLM evaluation and monitoring.</li></ul>Job Type: Full-timeWork Location: In person

Senior Data Scientist

Emirates Talent Solution

Job Title: AI &amp; Business Intelligence Specialist Location: Karachi, Pakistan Employment Type: Full-TimeJob OverviewWe are seeking a highly experienced AI &amp; Business Intelligence Specialist to support data-driven decision-making, strategic planning, and market forecasting. The ideal candidate will combine strong AI expertise with deep business strategy experience to deliver actionable insights that drive growth and competitive advantage.This role is suited for a strategic thinker who understands AI-powered analytics, market intelligence tools, and long-term business planning.Key Responsibilities<ul><li>Develop and manage AI-driven Business Intelligence and Market Intelligence models.</li><li>Analyze large datasets to identify market trends, customer behavior, and growth opportunities.</li><li>Translate complex data insights into clear strategic recommendations for leadership.</li><li>Support business strategy development using predictive analytics and AI tools.</li><li>Monitor competitors, industry movements, and emerging market opportunities.</li><li>Create dashboards, reports, and executive-level presentations.</li><li>Collaborate with leadership, marketing, sales, and operations teams to align insights with business goals.</li></ul>Key RequirementsExperience<ul><li>Minimum 5 years of hands-on experience in AI, Data Analytics, or Machine Learning related to Business or Market Intelligence.</li><li>Minimum 10 years of experience as a Business Strategist, Management Consultant, or Strategic Planning professional.</li></ul>Technical Skills &amp; Certifications<ul><li>Strong understanding of AI-based analytics, predictive modeling, and data visualization.</li><li>Experience with BI tools, dashboards, and reporting frameworks.</li><li>Relevant certifications in AI, Machine Learning, Data Science, Business Intelligence, or Strategic Management will be an advantage.</li><li>Ability to interpret market data, financial trends, and competitive intelligence.</li></ul>Strategic &amp; Soft Skills<ul><li>Strong business acumen with a strategic mindset.</li><li>Excellent analytical, presentation, and communication skills.</li><li>Ability to work independently and advise senior leadership.</li><li>Proven ability to convert data into business growth strategies.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Business, Economics, Data Science, AI, or a related field.</li><li>Professional certifications (as listed above) are highly preferred.</li></ul>Compensation &amp; Benefits<ul><li>Competitive salary package based on experience and expertise.</li><li>Opportunity to work on high-impact strategic and AI-driven initiatives.</li><li>Professional growth and leadership exposure.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthAbility to commute/relocate:<ul><li>Karachi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Artificial Intelligence: 5 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

AI & Business Intelligence Specialist

Aspire92

AI SpecialistJob Description: The AI Specialist is responsible for implementing, managing, and optimizing AI solutions, including large language models (LLMs), to support business operations, financial analysis, and educational tools. The role focuses on leveraging AI to generate insights, automate workflows, and enhance client and internal processes.Key Responsibilities:Implement, manage, and optimize AI models and tools, including LLMs, for projects and client solutions.Collaborate with IT and cross-functional teams to integrate AI solutions effectively.Analyze data sets (financial, educational, or operational) to generate actionable insights.Develop AI-driven workflows, predictive models, and automation solutions.Stay updated on emerging AI technologies and best practices.Provide guidance, documentation, and training on AI solutions to internal teams.Maintain accurate records of AI models, experiments, and project outcomes.Requirements &amp; Qualifications:Degree in Computer Science, Data Science, Artificial Intelligence, Finance, Education, or a related field preferred.Proven experience with AI software, machine learning models, and LLMs.Familiarity with AI platforms and tools (e.g., OpenAI, Azure AI, TensorFlow, PyTorch).Experience in financial or educational environments is a plus.Strong analytical and problem-solving skills.Excellent English communication and collaboration skills.Proficiency in Microsoft Office Suite and data visualization tools (Power BI, Tableau, or similar).Comfortable working in virtual and cloud-based environments.Job Type: Full-timeWork Location: Remote

AI Consultant

National Foods Limited

<div>
 
 
 Job Purpose
 
 
 
 
 
 
 Lead the Data &amp; Digital Delivery pillar within DDT, driving the design, delivery, and governance of enterprise data platforms, analytics, AI/automation, and digital capabilities. Leads development of the enterprise Lakehouse, analytics, AI/ML models, digital platforms (SFA/DMS, B2B/D2C), automation, and API ecosystem. This role transforms the NFL into a data-driven and AI-enabled organization by standardizing data products, governing semantic layers, and ensuring digital platforms deliver measurable commercial value.
 
 
 
 
 
 
 Job Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Lead the vision, strategy, and enterprise adoption of digital, data, and AI capabilities aligning with business growth, commercial priorities, and DDT transformation roadmap.
 </li>
 <li>
 Define and govern the architecture, roadmap, and multi-year evolution of the Data Lakehouse, ensuring scalability, stability, and alignment with enterprise needs.
 </li>
 <li>
 Develop and enforce data governance, quality, security, and compliance standards across semantic models, data pipelines, APIs, and analytics environments.
 </li>
 <li>
 Oversee end-to-end delivery of analytics, BI, and reporting platforms (Power BI, dashboards, semantic layers), ensuring data accuracy, reliability, and performance.
 </li>
 <li>
 Drive development, deployment, and lifecycle management of AI/ML solutions including forecasting, optimization, segmentation, predictive analytics, and AI copilots.
 </li>
 <li>
 Lead automation strategy and delivery using RPA, workflow automation, and AI agents to unlock organizational efficiency and productivity gains.
 </li>
 <li>
 Ensure digital platforms (SFA, DMS, eB2B, D2C, field sales tools) deliver measurable commercial value, high user experience, and strong integration with core systems.
 </li>
 <li>
 Establish and lead portfolio governance for all digital/data initiatives ensuring prioritization, alignment with OKRs, risk oversight, and value realization.
 </li>
 <li>
 Define and track KPIs such as MAPE improvement, OOS reduction, automation hours saved, adoption rate, digital uptime, and ROI metrics.
 </li>
 <li>
 Supervise planning, development, testing, deployment, and post-go-live stabilization of all digital/data projects ensuring timely delivery and sustained adoption.
 </li>
 <li>
 Evaluate proposals, business cases, and innovation opportunities to determine feasibility, cost-benefit, strategic fit, and expected ROI.
 </li>
 <li>
 Bridge the gap between technical teams and business stakeholders, translating business needs into digital/data solutions and ensuring clear communication of outcomes.
 </li>
 <li>
 Lead continuous improvement initiatives by enhancing digital workflows, analytics maturity, data usage, and decision-making capabilities across business units.
 </li>
 <li>
 Cultivate strong relationships with cloud providers, data/AI vendors, platform integrators, and consulting partners ensuring optimized performance and value delivery.
 </li>
 <li>
 Negotiate vendor contracts, license agreements, SLAs, and service obligations, ensuring cost efficiency, performance guarantees, and vendor accountability.
 </li>
 <li>
 Champion data literacy, digital fluency, and AI adoption through structured change management, communication campaigns, and capability-building programs.
 </li>
 <li>
 Work closely with business functions (Sales, Finance, SCM, Marketing, Exports, HR) to identify digital opportunities, enhance user experience, and embed analytics in decision-making.
 </li>
 <li>
 Develop and manage multi-million PKR budgets covering digital platforms, analytics, AI/ML, and automation, ensuring cost-effective execution of initiatives.
 </li>
 <li>
 Conduct cost-benefit analyses and optimize cloud and platform spend, identifying savings opportunities via rationalization, scaling policies, and FinOps.
 </li>
 <li>
 Ensure compliance with data governance, cybersecurity, privacy, and regulatory standards, coordinating with IT Governance, EA, and Cybersecurity teams.
 </li>
 <li>
 Lead adoption of secure practices across digital/data platforms, ensuring SoD controls, audit readiness, encryption, access governance, and DR capabilities.
 </li>
 <li>
 Stay ahead of emerging technologies (GenAI, RPA, Low-code platforms, IoT, Vision AI) and recommend opportunities for digital innovation and competitive advantage.
 </li>
 <li>
 Drive innovation discovery and experimentation cycles, managing pilots, PoCs, and scale decisions in collaboration with Tech Strategy &amp; Innovation
 </li>
 <li>
 Promote cross-functional collaboration and knowledge sharing to enhance internal digital capabilities and minimize vendor dependency.
 </li>
 <li>
 Develop and implement talent strategies for digital and data teams, including hiring, skill development, succession planning, and career growth.
 </li>
 <li>
 Foster a performance-driven culture by defining clear KPIs, setting goals, reviewing performance, and coaching teams.
 </li>
 <li>
 Represent the Data &amp; Digital Delivery function in leadership councils, steering committees, and cross-functional programs, ensuring strategic alignment and enterprise integration.
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications And Experience
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field; Master&rsquo;s preferred.
 </li>
 <li>
 15+ years in data engineering, analytics, and digital delivery, including 5+ years in senior leadership.
 </li>
 <li>
 Proven experience in Lakehouse, cloud platforms (Azure/AWS/GCP), API frameworks, AI/ML, and automation.
 </li>
 <li>
 PMP/Agile certifications preferred.
 </li>
 <li>
 Experience in FMCG or manufacturing industries is desirable.
 </li>
 </ul>
 
 
 
 
 
 Professional Knowledge And Certifications
 
 
 
 
 
 <ul>
 <li>
 Cloud/Data Platform Certifications (Azure, AWS, GCP)
 </li>
 <li>
 AI/ML, RPA, and Automation Certifications
 </li>
 <li>
 Project Management Professional (PMP&reg;) &ndash; PMI
 </li>
 <li>
 Agile / Scrum Certification (e.g., Certified ScrumMaster, PMI-ACP)
 </li>
 <li>
 ITIL v4 Foundation / Intermediate
 </li>
 <li>
 COBIT (Control Objectives for Information and Related Technologies)
 </li>
 </ul>
 
 
 
 
 
 Location
 
 
 
 
 
 
 Karachi, Pakistan
 
</div>

Head of Data & Digital Delivery

Fossphorus Software House

Designation: Senior AI&ndash;ML DeveloperEmployment Type: Full-timeLocation: Gulshan e Iqbal Block 14 near Civic Center, KarachiAbout Us:Fossphorus is a dynamic IT and digital solutions company, empowering businesses since 2018 with innovation across software development, web &amp; mobile apps, AI, cloud, cybersecurity, ERP, data analytics, IT consulting, and more. We blend creativity, technology, and strategic insight to deliver user-centric, scalable digital experiences that drive measurable business results. With global offices and a focus on growth through client partnerships, Fossphorus is poised to expand its reach further.Job Summary:We are seeking a Senior AI&ndash;ML Developer (5&ndash;8 years) to lead the design, development, and deployment of AI/ML systems. The role includes architecting solutions, mentoring junior team members, and driving strategic AI initiatives across the company.Key Responsibilities:- Lead AI/ML projects from concept to deployment- Design and implement scalable machine learning pipelines and solutions- Evaluate, select, and optimize ML algorithms and frameworks- Deploy AI/ML models to production with monitoring and maintenance- Mentor and guide junior and mid-level AI developers- Collaborate with business and product teams to identify opportunities for AI-driven improvements- Research and integrate new AI/ML technologies and best practicesRequired Skills &amp; Qualifications:- 5&ndash;8 years of AI/ML development experience- Expert in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras)- Deep understanding of ML algorithms, neural networks, NLP, and computer vision- Strong experience with data preprocessing, model evaluation, and optimization- Experience in cloud deployment and containerization (AWS/GCP/Azure, Docker, Kubernetes)- Strong problem-solving, analytical, and leadership skillsPreferred Skills:- Experience in AI architecture design and end-to-end ML pipelines- Familiarity with big data ecosystems (Spark, Hadoop)- Knowledge of AI ethics, bias, and explainabilityHow to Apply:Send resume + GitHub/project links to talent@fossphorus.com with the subject: &ldquo;Senior AI&ndash;ML Developer&quot;&quot;Job Type: Full-timePay: Rs200,000.00 - Rs250,000.00 per monthWork Location: In person

Senior AI–ML Developer

Explore 739+ Ai data scientist in Karachi this January. Find roles across top companies and apply now to boost your career.

739 ai data scientist jobs IN Karachi

AI Data Scientist

AI Data Scientist

Senior Data Scientist

AI & Business Intelligence Specialist

AI Consultant

Head of Data & Digital Delivery

Senior AI–ML Developer